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Laser-induced fluorescence spectroscopy (LIF) and Raman spectrum of serum for detection of colon cancer and rectum cancer were investigated in this paper. The aim of this study was that using Raman spectrum and LIF analysis the serum of colon cancer and rectum cancer for found the difference compared to normal, the difference was found. For example: the peaks intensity and red shift are both different...
Laser-induced fluorescence and Raman spectroscopy of serum for detect colon cancer was investigated in this paper. The difference to serum spectrum was discovered. Three Raman peaks were consistently observed from normal blood serum emission using 488.0 nm and 514.5 nm excitation of an Ar-ion laser. While no Raman peak or slight Raman peaks were detected from colon cancer's cases. In addition, the...
Laser-induced fluorescence spectroscopy (LIF) and Raman spectrum of serum for diagnosis of rectum cancer were investigated by criteria of three parametric modes in this paper. The aim of this study was in an attempt to find the difference normal and rectum cancer cases, therefore 89 rectum cancer samples were measured using fluorescence and Raman spectrum. The experimental result showed that there...
Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI or SELDI-TOF MS) with protein arrays has facilitated the discovery of disease-specific protein profiles in serum. As array technologies in bioinformatics and proteomics multiply the quantity of data being generated, more automated hardware and computational methods will become necessary in order to keep up. Robot...
In this paper, laser induced human serum Raman spectra of liver cancer are measured. The spectra in serum differences between normal people and liver cancer patients are analyzed. For the typical spectrum of normal serum, there are three sharp Raman peaks and relative intensity of Raman peaks excited by 514.5 nm is higher than that excited by 488.0 nm. However, for the Raman spectrum of liver cancer...
We present a three parametric model using Raman and fluorescence spectroscopy for detection and analysis of esophagus dysphasia and esophagus cancer. The model was set up from more than 200 samples. And 40 samples were used to test this algorithm of the model prospectively. The serum spectra were excited by laser of the wavelength 488.0 nm and 514.5 nm. The apparent differences of auto-fluorescence...
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